Input data for: Reconstruction of hourly coastal water levels and 
counterfactuals without sea level rise for impact attribution

Muis, Sanne; Dangendorf, Sönke; Irazoqui Apecechea, Maialen; Dullaart, Job; de Lima Rego, Joao; Madsen, Kristine Skovgaard; Su, Jian; Yan, Kun; Verlaan, Martin; Hay, Carling; Calafat, Francisco Mir; Marcos, Marta; Piecuch, Christopher; Berk, Kevin; Jensen, Jurgen; Treu, Simon

doi:10.5281/zenodo.8322750

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Input data for: Reconstruction of hourly coastal water levels and counterfactuals without sea level rise for impact attribution

Authors

Muis, Sanne
External Organizations;

Dangendorf, Sönke
External Organizations;

Irazoqui Apecechea, Maialen
External Organizations;

Dullaart, Job
External Organizations;

de Lima Rego, Joao
External Organizations;

Madsen, Kristine Skovgaard
External Organizations;

Su, Jian
External Organizations;

Yan, Kun
External Organizations;

Verlaan, Martin
External Organizations;

Hay, Carling
External Organizations;

Calafat, Francisco Mir
External Organizations;

Marcos, Marta
External Organizations;

Piecuch, Christopher
External Organizations;

Berk, Kevin
External Organizations;

Jensen, Jurgen
External Organizations;

/persons/resource/Simon.Treu

Treu, Simon
Potsdam Institute for Climate Impact Research;

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Citation

Muis, S., Dangendorf, S., Irazoqui Apecechea, M., Dullaart, J., de Lima Rego, J., Madsen, K. S., Su, J., Yan, K., Verlaan, M., Hay, C., Calafat, F. M., Marcos, M., Piecuch, C., Berk, K., Jensen, J., Treu, S. (2023): Input data for: Reconstruction of hourly coastal water levels and counterfactuals without sea level rise for impact attribution.
https://doi.org/10.5281/zenodo.8322750

Cite as: https://publications.pik-potsdam.de/pubman/item/item_29720

Abstract

This Zenodo archive contains essential input datasets utilized in our research study titled "Reconstruction of hourly coastal water levels and counterfactuals without sea level rise for impact attribution". This archive contains only input data. The Hourly Coastal water levels with Counterfactual (HCC) dataset is published in the ISIMIP repository.